Senior Machine Learning Data Scientist (AI)

TL;DR

Senior Machine Learning Data Scientist (AI): Driving the development of next-generation foundation models for wearable biosignals to power hirify.global’s health sensing features with an accent on designing and validating deep learning approaches for large-scale time-series data. Focus on translating evidence into shipped features and scientific publications to improve outcomes for hirify.global members.

Location: Remote US role with a strong preference for candidates on the East coast (especially in New York). Candidates residing in Alaska, Delaware, Iowa, Mississippi, Missouri, Nebraska, South Dakota, Vermont, West Virginia, and Wisconsin are not considered.

Salary: $139,000–$203,000 (based on US region)

Company

hirify.global is an award-winning product company focused on empowering people to improve their health through wearable biosignal technology.

What you will do

• Drive foundation models for wearable biosignals, setting standards for reusable representations, tooling, and evaluation.
• Design, implement, and validate deep learning approaches for large-scale physiological time-series, including self-supervised and multimodal pretraining.
• Lead scientific publications from core modeling and validation work to advance understanding of human physiology.
• Build and operate scalable data generation, training, and inference pipelines to improve efficiency and reproducibility.
• Lead collaborations with scientists, clinicians, engineers, and product teams to translate research advances into production features.

Requirements

• PhD with 3+ years of industry or postdoctoral experience, or MSc with 5+ years of industry experience, in machine learning, computer science, statistics, electrical engineering, or a related field.
• Demonstrated success developing deep learning models for large-scale time-series or sensor data, ideally physiological or wearable signals, including foundation-model and self-supervised/multimodal approaches.
• Advanced proficiency in Python and modern ML frameworks (e.g., PyTorch or Jax), with experience building scalable training and evaluation pipelines.
• Strong grounding in probability, statistics, and experimental design; proven ability to design rigorous evaluations and interpret results from large research or clinical datasets.
• Excellent scientific writing with a record of first-author, peer-reviewed publications in top machine learning and digital health venues.
• Collaborative, highly autonomous working style; comfortable operating in an interdisciplinary, globally distributed team and communicating effectively with cross-functional partners.
• Flexibility for occasional meetings across European time zones and willingness to travel for onsite meetings a few times per year.

Nice to have

• Healthcare or health-tech industry experience preferred.

Culture & Benefits

• Competitive salary and equity packages.
• Health, dental, vision insurance, and mental health resources.
• An hirify.global Ring of your own plus employee discounts for friends & family.
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off.
• Paid sick leave and parental leave.